Local-first Strava analytics for cyclists.
Analyze your complete Strava history locally – without Strava API access, without cloud upload. Just download the ZIP export, import it, done.
⭐ Features 📊 Training analytics · 🚴 Bike management · 🌦 Weather & performance · 🏆 PRs & best efforts · 🗺 Routes & heatmap · 🔒 100% local
No API. Import your Strava ZIP export.
No cloud. Your activities stay on your own machine.
No subscription. Fully open source (AGPL-3.0) – no license key, ever.
One dashboard. Training, performance, weather, and bike maintenance in one place.
| WattLoom Cycling | Strava | GoldenCheetah | Intervals.icu | |
|---|---|---|---|---|
| Local data | ✅ | ❌ | ✅ | ❌ |
| Strava API required | ❌ | — | optional | optional |
| Cloud account required | ❌ | ✅ | ❌ | ✅ |
| Web UI | ✅ | ✅ | ❌ (desktop app) | ✅ |
| Open source | ✅ | ❌ | ✅ | ❌ |
Feature sets of the other tools change over time – check their current documentation. What WattLoom brings out of the box: bike maintenance (wear, parts stock, cost per km) and weather analysis for every ride, both free.
 Dashboard |
 Activity list |
 Activity detail with speed-colored map |
 Form & fitness (PMC) |
 Custom segment with all efforts |
 Weather & performance |
 Bikes & component wear |
| Area | What it does |
|---|---|
| Dashboard | Latest ride, training form (TSB/CTL/ATL), training goals, wear warnings, new personal records, KPIs, distance and volume charts |
| Activities | Rides and workouts with filters; detail view with map, elevation/speed/HR profiles, weather, photos, estimated power |
| Training load | Form curve (CTL/ATL/TSB, hrTSS), HR zones, 80/20 training distribution, fitness fingerprint score |
| Performance | Best efforts per distance (5–70 km), pace trend, aerobic efficiency, HR curve, cadence |
| Routes | Heatmap of all tracks, find similar rides by real track overlap, custom segments with all your efforts compared |
| Weather | Speed vs. temperature and wind, weather timeline over all years (free via Open-Meteo) |
| Bikes | Wear tracking per component, maintenance queue, parts inventory, maintenance cost per 100 km, bike comparison |
| Overviews | "What changed?" comparison of the last 30/90/365 days, year progress and forecast, year comparison, calendar, weekday vs. weekend, calories, "Wrapped" year in review |
| Import | Strava ZIP export plus single FIT/TCX/GPX files (e.g. straight from your watch) |
| Other | Optional beta-blocker HR correction, UI in German/English, 5 themes |
How each value is calculated – and which values are estimates – is documented in CALCULATIONS.md.
Requires Docker Desktop (Windows/macOS) or Docker Engine with the Compose plugin (Linux).
docker compose up --buildOpen http://localhost:8000. Your data lives in the local wattloom-data/ folder and
survives container restarts. Put your Strava export ZIP in wattloom-data/download/.
By default the port is bound to 127.0.0.1 only, so WattLoom is reachable from this computer
alone. To use it from other devices in your LAN, start it with
WATTLOOM_BIND=0.0.0.0 docker compose up --build.
Download WattLoom-windows.zip from the Releases,
extract it anywhere and start WattLoom.exe – the browser opens automatically on
http://localhost:8000.
- Your data lives in
%APPDATA%\WattLoom\data, not in the program folder – it survives updates. - Put your Strava export ZIP in the
download\folder next toWattLoom.exe. - Automatic import: FIT/TCX/GPX files placed in the
sync\folder next toWattLoom.exe(e.g. by your watch's companion app) are imported while WattLoom is running.
Updating from v1.1.1 or older: these versions stored data\ next to the .exe. Before
starting the new version for the first time, either extract it over the old folder or copy
the old data\ folder next to the new WattLoom.exe. On first start it is moved to
%APPDATA%\WattLoom\data once (the old folder is kept as data.migrated-<date>).
Python ≥ 3.11 and Node.js ≥ 20 – see DEVELOPMENT.md.
- Strava → Settings → My Account → Download your data → download the ZIP.
- Put the ZIP in the
download/folder (see above for Docker/Windows). - On first start, the setup wizard guides you through the import. Later imports and single FIT/TCX/GPX files are available on the Import page.
Testing without Strava data: Want to try out WattLoom without an export? Switch to a realistic sample dataset under Settings → Demo mode. Your own data stays untouched and is back as soon as you switch it off.
WattLoom Cycling is a single-user application for local use: no authentication, no user management. That's a deliberate design choice, as long as you follow this rule:
- Never expose it to the open internet – don't forward port 8000 (or 5173) publicly.
- For remote access, use a VPN (e.g. WireGuard, Tailscale) into your own LAN.
- Inside your own trusted LAN, it's fine to make it reachable for your own devices.
| Document | For |
|---|---|
| Calculations | How power, training load, scores and records are computed |
| Development | Running from source, tests, builds, releases |
| Architecture | Project structure, database schema, tech stack |
| API reference | Built in: http://localhost:8000/docs while the backend runs |
| Contributing | Bug reports, feature requests, pull requests |
| Changelog | Release history |
WattLoom Cycling is free and open source, developed and maintained in my spare time. If it's useful to you, a contribution is welcome — but never required. No feature will ever be paywalled.
AGPL-3.0 – genuinely open source. Redistribution and modification are permitted; if you make a modified version available to others (including as a hosted service), you must also make the source of your changes available under AGPL-3.0. See LICENSE. Copyright (c) 2026 Ashikaga1974.